Publications

Export 29 results:
Filters: Author is Davide Maiorca  [Clear All Filters]
2022
M. Melis, Scalas, M., Demontis, A., Maiorca, D., Biggio, B., Giacinto, G., and Roli, F., “Do Gradient-Based Explanations Tell Anything About Adversarial Robustness to Android Malware?”, International Journal of Machine Learning and Cybernetics, vol. 13, pp. 217-232, 2022. (1.2 MB)
F. Meloni, Sanna, A., Maiorca, D., and Giacinto, G., “Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware”, 19th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA). pp. 42-52, 2022. (328.32 KB)
A. Janovsky, Maiorca, D., Marko, D., Matyas, V., and Giacinto, G., “A Longitudinal Study of Cryptographic API: A Decade of Android Malware”, 19th International Conference on Security and Cryptography (SECRYPT). pp. 121-133, 2022. (251.06 KB)
L. Borzacchiello, Coppa, E., Maiorca, D., Columbu, A., Demetrescu, C., and Giacinto, G., “Reach Me if You Can: On Native Vulnerability Reachability in Android Apps”, 27th European Symposium on Research in Computer Security (ESORICS). 2022. (979.51 KB)
2021
G. Malandrone, Virdis, G., Maiorca, D., and Giacinto, G., “PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis”, 5th Italian Conference on CyberSecurity (ITASEC). 2021. (982.03 KB)
2020
D. Maiorca, Demontis, A., Biggio, B., Roli, F., and Giacinto, G., “Adversarial Detection of Flash Malware: Limitations and Open Issues”, Computers & Security, vol. 96, 2020. (1.08 MB)
F. Cara, Scalas, M., Giacinto, G., and Maiorca, D., “On the Feasibility of Adversarial Sample Creation Using the Android System API”, Information, no. 11(9): 433, 2020. (1.26 MB)
2019
D. Maiorca and Biggio, B., “Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware”, IEEE Security and Privacy: Special Issue on Digital Forensics, vol. 17, no. 1, pp. 63-71, 2019. (838.95 KB)
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., and Giacinto, G., “On the Effectiveness of System API-Related Information for Android Ransomware Detection”, Computers and Security, vol. 86, pp. 162-182, 2019. (706.92 KB)
D. Ugarte, Maiorca, D., Cara, F., and Giacinto, G., “PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware”, 16th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA). Springer, Gothenburg, Sweden, pp. 240-259, 2019. (352.39 KB)
D. Maiorca, Biggio, B., and Giacinto, G., “Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks”, ACM Computing Surveys, vol. 52, no. 4, 2019. (1.21 MB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F., “Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection”, IEEE Trans. Dependable and Secure Computing, vol. 16, no. 4, pp. 711-724, 2019. (3.61 MB)
2018
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., and Roli, F., “Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables”, in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 KB)
M. Melis, Maiorca, D., Biggio, B., Giacinto, G., and Roli, F., “Explaining Black-box Android Malware Detection”, in 26th European Signal Processing Conference (EUSIPCO '18), Rome, Italy, 2018, pp. 524-528. (431.78 KB)
2017
D. Maiorca, Russu, P., Corona, I., Biggio, B., and Giacinto, G., “Detection of Malicious Scripting Code through Discriminant and Adversary-Aware API Analysis”, in 1st Italian Conference on CyberSecurity (ITASEC), 2017, vol. 1816, pp. 96-105. (371.53 KB)
D. Maiorca, Mercaldo, F., Giacinto, G., Visaggio, A., and Martinelli, F., “R-PackDroid: API Package-Based Characterization and Detection of Mobile Ransomware”, in ACM Symposium on Applied Computing (SAC 2017 - Acceptance Rate 15.7%), 2017, pp. 1718-1723. (272.44 KB)
2016
D. Maiorca, “Design and Implementation of Robust Systems for Secure Malware Detection (Ph.D. Thesis)”, University of Cagliari, Italy, Cagliari, 2016. (5.34 MB)
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and Holz, T., “Evaluating Analysis Tools for Android Apps: Status Quo and Robustness against Obfuscation”, Proceedings of the 6th ACM Conference on Data and Application Security and Privacy (CODASPY 2016, 09-11 March, 2016). 2016. (726.65 KB)
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and Holz, T., “Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation”, Horst Görtz Institut for IT Security (Ruhr-University Bochum), Technical Report TR-HGI-2016-003, 2016. (519.16 KB)
2015
M. Aresu, Ariu, D., Ahmadi, M., Maiorca, D., and Giacinto, G., “Clustering Android Malware Families by Http Traffic”, in 10h International Conference on Malicious and Unwanted Software (MALCON 2015), October 20-22th 2015, Fajardo, Puerto Rico, USA, 2015. (168.36 KB)
D. Maiorca, Ariu, D., Corona, I., and Giacinto, G., “An Evasion Resilient Approach to the Detection of Malicious PDF Files”, in Information Systems Security and Privacy (Communication in Computer and Information Science), vol. 576, Springer, 2015, pp. 68-85. (503.11 KB)
T. Hupperich, Maiorca, D., Kührer, M., Holz, T., and Giacinto, G., “On the Robustness of Mobile Device Fingerprinting”, in 31st Annual Computer Security and Applications Conference (ACSAC 2015), 7-10th December 2015, Los Angeles, USA, 2015, pp. 191-200. (301.87 KB)
D. Maiorca, Ariu, D., Corona, I., Aresu, M., and Giacinto, G., “Stealth Attacks: An Extended Insight into the Obfuscation Effects on Android Malware”, Computers And Security (Elsevier), vol. 51 (June), pp. 16-31, 2015. (413.99 KB)
D. Maiorca, Ariu, D., Corona, I., and Giacinto, G., “A Structural and Content-Based Approach for a Precise and Robust Detection of Malicious PDF Files”, Proceedings of the 1st International Conference on Information Systems Security and Privacy (ICISSP 2015, 9-11th February 2015, Angers, France). pp. 27-36, 2015. (267.78 KB)
2014
I. Corona, Maiorca, D., Ariu, D., and Giacinto, G., “Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References”, in AISec'14: Proceedings of the 2014 ACM Workshop on Artificial Intelligence and Security, co-located with CCS '14, Scottdale, Arizona, USA, 2014. (455.14 KB)

Pages